Spatial Data Traversal in Road Map Databases: A Graph Indexing Approach.
J. Leon Zhao, Ahmed Zaki:
Spatial Data Traversal in Road Map Databases: A Graph Indexing Approach.
CIKM 1994: 355-362@inproceedings{DBLP:conf/cikm/ZhaoZ94,
author = {J. Leon Zhao and
Ahmed Zaki},
title = {Spatial Data Traversal in Road Map Databases: A Graph Indexing
Approach},
booktitle = {Proceedings of the Third International Conference on Information
and Knowledge Management (CIKM'94), Gaithersburg, Maryland, November
29 - December 2, 1994},
publisher = {ACM},
year = {1994},
pages = {355-362},
ee = {db/conf/cikm/ZhaoZ94.html, http://doi.acm.org/10.1145/191246.191308},
crossref = {DBLP:conf/cikm/94},
bibsource = {DBLP, http://dblp.uni-trier.de}
}
BibTeX
Abstract
Spatial data are found in geographic information systems such as digital road map databases where
city and road attributes are associated with nodes and links in a directed graph. Queries on spatial
data are expensive because of the recursive property of graph traversal. We propose a graph
indexing technique to expedite spatial queries where the graph topology remains relatively stationary.
Using a probabilistic analysis, this paper shows that the graph indexing technique significantly
improves the efficiency of constrained spatial queries.
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Proceedings of the Third International Conference on Information and Knowledge Management (CIKM'94), Gaithersburg, Maryland, November 29 - December 2, 1994.
ACM 1994
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